基于(关键地区、市场参与者、规模和份额)的实时生产监控市场 - 到 2030 年的预测

  • Report Code : TIPTE00002456
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 184
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【研究报告】2022年实时生产监控市场规模为513068万美元,预计到2030年将达到1256583万美元;预计2022年至2030年复合年增长率为11.8%。
分析师观点:
实时生产监控是一种有助于监控生产过程的解决方案。它实时记录有关生产绩效的所有信息。监控系统为制造商或生产线上的操作员从多个生产线源收集生产数据。然后,收集的数据可用于深入了解高效生产工作流程所需采取的步骤,从而提高生产线效率。一些制造企业在汽车、化工、石油和天然气、机械以及食品和饮料等垂直行业中采用了实时生产监控市场的这些解决方案。
实时生产监控市场概述:
时间生产监控市场是各个行业的重要组成部分。由于数字化制造的需求不断增加,市场稳步增长。制造业的数字化导致制造商采用多种技术,因为它有助于有效管理生产过程。此外,对智能制造解决方案实施的日益关注促进了各种数字解决方案的采用,例如实时生产监控软件。该软件有助于监控生产 KPI 并实时减少停机事件,以实现高效的连续制造流程。该软件可帮助操作员、工程师和管理层深入了解当前的操作状况。它构建实时仪表板,并帮助监控站点级工艺流程、设备状态或企业范围的生产 KPI,从而帮助系统操作员做出有效决策,以提高生产输出质量。因此,此类软件解决方案的好处导致了它的采用,从而促进了实时生产监控市场的增长。
政府支持和政策的增加激励中小企业采用数字解决方案并推动其业务推动市场发展。此外,革命性的工业 4.0 进一步促进了制造执行系统 (MES) 的采用,为市场提供了利润丰厚的机会。
战略见解
实时生产监控市场驱动因素:
使用量增加跨行业预测性维护推动实时生产监控市场增长
随着数字技术的发展,多个制造业正在利用预测性维护。这些智能工业使用制造资产的实时数据,并分析工厂车间传感器获取的大量大数据。该分析需要预测性维护以减少设备停机时间。实时生产监控系统可以跟踪设备并发出警报,以便仅在真正必要时才完成工作。此外,这些系统经常作为模块提供,以补充具有类似于标准计算机化维护管理系统(CMMS)的预防性维护功能的企业资源规划(ERP)系统。根据 Plant Engineering 2020,41% 的制造业通过使用分析工具的预测性维护等策略进行维护。一些制造商正在安装多种预测性维护工具。例如,2023 年 3 月,沃尔沃集团部署了专用 LoRaWAN 网络进行预测性维护。在另一个例子中,2022年10月,安德里茨在Welspun Advanced Material安装了Metris预测维护系统。 Metris平台使用智能传感器作为能源自给自足的无缝支持解决方案,即使在难以到达的地方也能持续检查机器状况。因此,预测性维护的日益普及推动了实时生产监控市场的发展,因为预测性维护需要实时数据来提供分析。
实时生产监控市场细分分析:
基于组件,实时生产监控市场分为解决方案和服务。解决方案部分在实时生产监控市场中占有较大份额。实时生产监控解决方案通过管理和控制车间的生产运营,在制造业中发挥着关键作用。实时生产监控解决方案提供制造流程的实时可见性、跟踪和管理,以提高效率、质量和生产力。实时跟踪生产活动,包括机器状态、工单和员工绩效。这些解决方案提供各种组件和功能,例如工单的创建、分配和跟踪,包括调度和优先级;在整个生产过程中监控和管理原材料、零部件和成品;通过质量控制检查、检查和遵守行业标准来确保产品质量;跟踪和记录产品的谱系,包括使用的原材料和应用的工艺,用于质量控制和合规目的;从各种传感器、机器和人工输入收集数据以进行实时分析和决策。提供实时生产监控组件的领先 MES 提供商包括西门子 MES、达索系统 DELMIA、罗克韦尔自动化、FactoryTalk Production Centre 和 GE Digital Predix MES。实时生产监控系统提供生产运营的实时可见性。它在集中仪表板上显示机器、工作订单、库存水平和生产计划的状态。操作员和主管可以监控车间活动并实时跟踪进度。因此,实时生产监控市场的解决方案部分正在显着增长。
实时生产监控市场区域分析:
2022 年亚太地区实时生产监控市场价值为 1583.33 百万美元,预计到2030年达到406791万美元;预计 2022 年至 2030 年复合年增长率为 12.5%。亚太地区 (APAC) 是一个人口众多且数字经济不断发展的多元化地区,有助于产生大量数据。由于物联网设备的激增、智能制造计划以及对实时数据处理的需求,亚太地区一直处于数据计算采用的前沿。亚太地区的互联网普及率显着提高,导致数据消耗和本地化数据处理需求激增。
亚太地区长期以来一直是强大的制造基地,并且该行业仍然是物联网的强劲采用者。物联网在整个地区的垂直行业得到广泛采用,从而导致数字解决方案的采用。该地区制造业实力潜力巨大。 2023年3月,罗克韦尔自动化公司公布了第八期年度《智能制造状况报告》结果。根据对澳大利亚、印度、中国、韩国和日本等国家 1,350 家制造商的调查显示,亚太地区约 44% 的制造商计划在明年内采用智能制造,其中中国约 80% 的制造商、60% 的制造商计划在未来一年内采用智能制造。 % 的澳大利亚和 59% 的印度已经在使用智能制造的某些组件。因此,智能制造的日益普及和现有智能制造设施代表了亚太地区强大的实时生产监控市场份额,因为该解决方案有助于智能设施实时有效地管理生产工作流程。.
实时生产监控市场关键玩家分析:
Capgemini SE、Oracle Corp、Hitachi Ltd、Rockwell Automation Inc、Siemens AG、Dassault Systemes SE、Aspen Technology Inc、Infosys Ltd、sedApta Srl 和 General Electric Co 是实时运营的主要参与者生产监控市场。
最新动态:
实时生产监控市场中的公司高度采用并购等无机和有机策略。下面列出了近期实时生产监控市场的一些关键发展:
2021 年,史丹利百得 (SB&D) 宣布在康涅狄格州哈特福德开设占地 23,000 平方英尺的先进制造卓越中心。该工厂被称为“制造工厂 4.0”,是该公司全球工业 4.0“智能工厂”和劳动力技能提升计划的中心。2023 年,Satisloh 宣布推出升级版 MES-360 制造执行系统。 MES-360 旨在满足大中型 Rx 实验室的实验室经理、生产主管、机器技术人员和质量团队的需求。
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

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to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

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to country scope.

Frequently Asked Questions


What are the driving factors impacting the real time production monitoring market?

Advent of Industry 4.0, increase in use of predictive maintenance across industries, and focus on maximizing production capacity are the driving factors impacting the real time production monitoring market.

What is the estimated global market size for the real time production monitoring market in 2022?

The real time production monitoring market was valued at US$ 5130.68 million in 2022 and is projected to reach US$ 12565.83 million by 2030; it is expected to grow at a CAGR of 11.8% during 2022–2030.

What are the future trends of the real time production monitoring market?

Integration of artificial intelligence and machine learning in manufacturing is the future trends of the real time production monitoring market.

Which are the key players holding the major market share of real time production monitoring market?

The key players, holding majority shares, in real time production monitoring market includes Capgemini SE, Oracle Corp, Hitachi Ltd, Rockwell Automation Inc, Siemens AG, Dassault Systemes SE, Aspen Technology Inc, Infosys Ltd, sedApta Srl, and General Electric Co.

Which is the leading component segment in the real time production monitoring market?

The solution segment led the real time production monitoring market with a significant share in 2022 and also expected to grow with the highest CAGR.

Which is the fastest growing regional market?

Asia Pacific is anticipated to grow with the highest CAGR over the forecast period.

Which region is holding the major market share of global real time production monitoring market?

The North America held the largest market share in 2022, followed by Asia Pacific and Europe.

The List of Companies - Real Time Production Monitoring Market 

  1. Oracle
  2. Hitachi, Ltd.
  3. Rockwell Automation
  4. Dassault Systèmes
  5. Aspen Technology, Inc.
  6. sedApta
  7. Siemens
  8. Capgemini
  9. Infosys Limited
  10. GE DIGITAL

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

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Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

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Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

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The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

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  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

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We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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